Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7722
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dc.contributor.authorTosun, Ufuk-
dc.contributor.authorAghazadeh, Reza-
dc.contributor.authorSert, Cüneyt-
dc.contributor.authorÖzer, Mehmet Bülent-
dc.date.accessioned2021-09-11T15:59:11Z-
dc.date.available2021-09-11T15:59:11Z-
dc.date.issued2017en_US
dc.identifier.issn0894-1777-
dc.identifier.issn1879-2286-
dc.identifier.urihttps://doi.org/10.1016/j.expthermflusci.2017.06.016-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/7722-
dc.description.abstractUltrasonic level sensors are commonly used to measure the motion of the free surface in fluid sloshing. They are used to measure the elevation of the free surface at a single point. The sloshing forces are generally measured with load sensors, which require two sets of measurements, with and without the fluid in the tank. This paper develops a method, which tracks the free surface motion during sloshing with a camera and uses the captured images to estimate the forces due to sloshing in a rectangular tank. One of the major assumptions is that the displacement input which causes sloshing is one dimensional and the resulting sloshing motion is two dimensional. For the method to correctly estimate the sloshing forces along the displacement input direction, sloshing should be around the resonant sloshing frequency. This new method can track the motion of the complete free surface rather than a single point. It estimates the sloshing forces using image processing and potential flow theory, without the need for a load cell measurement. Free surface shapes and sloshing force estimates obtained by image processing are compared with those measured by the sensors. Good agreement is observed for low amplitude sloshing around fundamental resonance frequency. (C) 2017 Elsevier Inc. All rights reserved.en_US
dc.description.sponsorshipTurkish Scientific and Technical Research CouncilTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113M401]en_US
dc.description.sponsorshipFinancial support from the Turkish Scientific and Technical Research Council, Grant No. 113M401, is greatly appreciated.en_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofExperimental Thermal And Fluid Scienceen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSloshingen_US
dc.subjectImage processingen_US
dc.subjectModal expansionen_US
dc.titleTracking Free Surface and Estimating Sloshing Force Using Image Processingen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Mechanical Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Makine Mühendisliği Bölümütr_TR
dc.identifier.volume88en_US
dc.identifier.startpage423en_US
dc.identifier.endpage433en_US
dc.authorid0000-0002-0380-5125-
dc.authorid0000-0001-7510-9367-
dc.authorid0000-0003-4549-7068-
dc.identifier.wosWOS:000409285600038en_US
dc.identifier.scopus2-s2.0-85021645408en_US
dc.institutionauthorÖzer, Mehmet Bülent-
dc.identifier.doi10.1016/j.expthermflusci.2017.06.016-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.7. Department of Mechanical Engineering-
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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